Git + Python
Automate Git from Python — diffs, hooks, release tags, and repo housekeeping.
Amend Last Commit Message in Python
This script uses subprocess to run `git commit --amend` and update the most recent commit's message in your repository.
import subprocess
import sys
def amend_last_commit_message(new_message: str) -> None:
"""Change the message of the most recent commit."""
result = subprocess.run(
["git", "commit", "--amend", "-m", new_message],
capture_output=True,
text=True,
check=False,
)
if result.…
How to List Changed Files in the Last Git Commit with Python
Runs `git diff --name-only HEAD~1 HEAD` via subprocess to list the names of files changed in the most recent commit.
import subprocess
def list_changed_files():
result = subprocess.run(
["git", "diff", "--name-only", "HEAD~1", "HEAD"],
capture_output=True,
text=True,
check=True
)
files = result.stdout.strip().splitlines()
return files
if __name__ == "__main__":
changed = list_cha…
How to Squash Commits Range into One in Python
A mock script that displays the last N git commits as a single squashed commit, showing original commit subjects.
import subprocess
import re
def squash_last_commits(count):
"""Mock squashing the last N commits into one by display."""
git_log = subprocess.run(
["git", "log", f"-{count}", "--pretty=format:%h %s"],
capture_output=True, text=True
)
if git_log.returncode != 0:
return "Git comm…
Merge branch no ff mock in Python
Simulate a Git non-fast-forward merge in Python, producing a synthetic merge commit log for branches with differing SHAs.
class MergeResult:
def __init__(self, base, branch):
self.base = base
self.branch = branch
self.commit_log = []
self.merged = False
def simulate_merge(self):
"""Simulate a 'no-ff' merge by creating a new commit that references both branches."""
if self.base == s…
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Git + Python — Python code examples
What you will find here
This page collects git + python snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.
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Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.